In this book, Nobel Laureate Merton Miller presents a sustained attack on the popular view that modern financial innovations have created excessive market volatility to the detriment of individual savers and business investors, and that regulation is essential in such forms as higher margin requirements, taxes on trading, and perhaps even closing down the future market.
This book discusses various aspects of blockchains in economic systems and investment strategies in crypto markets. It first addresses the topic from a conceptual and theoretical point of view, and then analyzes it from an assessment and investment angle. Further, it examines the opportunities and limitations of the taxation of crypto currency, as well as the political implications, such as regulation of speculation with crypto currencies. The book is intended for academicians and students in the fields of economics and finance.
Forecasting Volatility in the Financial Markets, Third Edition assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility. Chapters new to this third edition:* What good is a volatility model? Engle and Patton* Applications for portfolio variety Dan diBartolomeo* A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices Rob Cornish* Volatility modeling and forecasting in finance Xiao and Aydemir* An investigation of the relative performance of GARCH models versus simple rules in forecasting volatility Thomas A. Silvey - Leading thinkers present newest research on volatility forecasting - International authors cover a broad array of subjects related to volatility forecasting - Assumes basic knowledge of volatility, financial mathematics, and modelling
Financial innovation is a regular feature of the global financial system. Financial innovation results in greater economic efficiency over time. In the process of creating a new financial product, besides basic theory of financial management, a financial engineer needs to acquire knowledge of optimization and financial modeling techniques. Modern financial innovation is underpinned by a rich literature including the seminal studies by Levich (1985), Smith, Smithson, and Wilford (1990), Verghese (1990), Merton (1992), Levine (1997), John D Finnerty (2002), Tufano (2003) and Draghi (2008), among many others. This book corresponds to the need to provide an integrated study on financial innovation and the economic regulatory mechanism. A key part of financial innovation covered in the book is the process of creating innovative financial securities and derivative pricing that offers new pay-offs to investors. The book also covers a selection of empirical studies corroborating financial innovation theories. It also exposes myths surrounding performance evaluation models. This book is presented in six chapters. The first chapter outlines important considerations on the application of financial innovation theories. The second chapter presents the theories that underpin financial innovation practice. The third chapter focuses on use of technology for financial modeling. The fourth chapter identifies the relationship between financial innovation and the wider economic system. The fifth chapter discusses the place of financial innovation in the global financial system. The sixth and final chapter presents a comparative analysis of India and the United States.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
This edition of the OECD Sovereign Borrowing Outlook reviews developments in response to the COVID-19 pandemic for government borrowing needs, funding conditions and funding strategies in the OECD area.
Collectively, mankind has never had it so good despite periodic economic crises of which the current sub-prime crisis is merely the latest example. Much of this success is attributable to the increasing efficiency of the world's financial institutions as finance has proved to be one of the most important causal factors in economic performance. In a series of insightful essays, financial and economic historians examine how financial innovations from the seventeenth century to the present have continually challenged established institutional arrangements, forcing change and adaptation by governments, financial intermediaries, and financial markets. Where these have been successful, wealth creation and growth have followed. When they failed, growth slowed and sometimes economic decline has followed. These essays illustrate the difficulties of co-ordinating financial innovations in order to sustain their benefits for the wider economy, a theme that will be of interest to policy makers as well as economic historians.
The latest developments in chaos theory - from an industry expert Chaos and Order in the Capital Markets was the first book to introduce and popularize chaos as it applies to finance. It has since become the classic source on the topic. This new edition is completely updated to include the latest ripples in chaos theory with new chapters that tie in today's hot innovations, such as fuzzy logic, neural nets, and artificial intelligence. Critical praise for Peters and the first edition of Chaos and Order in the Capital Markets "The bible of market chaologists." - BusinessWeek "Ed Peters has written a first-class summary suitable for any investment professional or skilled investor." - Technical Analysis of Stocks & Commodities "It ranks among the most provocative financial books of the past few years. Reading this book will provide a generous payback for the time and mental energy expended." - Financial Analysts Journal This second edition of Chaos and Order in the Capital Markets brings the topic completely up to date with timely examples from today's markets and descriptions of the latest wave of technology, including genetic algorithms, wavelets, and complexity theory. Chaos and Order in the Capital Markets was the very first book to explore and popularize chaos theory as it applies to finance. It has since become the industry standard, and is regarded as the definitive source to which analysts, investors, and traders turn for a comprehensive overview of chaos theory. Now, this invaluable reference - touted by BusinessWeek as "the bible of market chaologists" - has been updated and revised to bring you the latest developments in the field. Mainstream capital market theory is based on efficient market assumptions, even though the markets themselves exhibit characteristics that are symptomatic of nonlinear dynamic systems. As it explores - and validates - this nonlinear nature, Chaos and Order repudiates the "random walk" theory and econometrics. It shifts the focus away from the concept of efficient markets toward a more general view of the forces underlying the capital market system. Presenting new analytical techniques, as well as reexamining methods that have been in use for the past forty years, Chaos and Order offers a thorough examination of chaos theory and fractals as applied to investments and economics. This new edition includes timely examples from today's markets and descriptions of cutting-edge technologies-genetic algorithms, wavelets, complexity theory-and hot innovations, such as fuzzy logic and artificial intelligence. Beyond the history of current capital market theory, Chaos and Order covers the crucial characteristics of fractals, the analysis of fractal time series through rescaled range analysis (R/S), the specifics of fractal statistics, and the definition and analysis of chaotic systems. It offers an in-depth exploration of: * Random walks and efficient markets - the development of the efficient market hypothesis (EMH) and modern portfolio theory * The linear paradigm - why it has failed * Nonlinear dynamic systems - phase space, the Henon Map, Lyapunov exponents * Applying chaos and nonlinear methods - neural networks, genetic algorithms * Dynamical analysis of time series - reconstructing a phase space, the fractal dimension Tonis Vaga's Coherent Market Hypothesis - the theory of social imitation, control parameters, Vaga's implementations Plus, Chaos and Order now contains a Windows-compatible disk including data sets for running analyses described in the appendices. Written by a leading expert in the field, Chaos and Order in the Capital Markets has all the information you need for a complete, up-to-date look at chaos theory. This latest edition will undoubtedly prove to be as invaluable as the first.
Understanding Financial Accounts seeks to show how a range of questions on financial developments can be answered with the framework of financial accounts and balance sheets, by providing non-technical explanations illustrated with practical examples.
This useful guide walks venture capitalists through the principles of finance and the financial models that underlie venture capital decisions. It presents a new unified treatment of investment decision making and mark-to-market valuation. The discussions of risk-return and cost-of-capital calculations have been updated with the latest information. The most current industry data is included to demonstrate large changes in venture capital investments since 1999. The coverage of the real-options methodology has also been streamlined and includes new connections to venture capital valuation. In addition, venture capitalists will find revised information on the reality-check valuation model to allow for greater flexibility in growth assumptions.
